Before you can improve your AI visibility, you need to know if your website is even accessible to AI platforms. Our AI Readiness Site Audit checks the technical foundations that determine whether AI crawlers can find, understand, and cite your content. From Schema.org markup to robots.txt configuration, entity signals to citation quality, we examine everything that affects how AI models perceive your site.
Our comprehensive audit covers the four critical pillars of AI readiness. Each area directly impacts whether AI platforms can find and recommend your brand.
Schema markup is the language that helps AI platforms understand what your website is about. Our audit checks for the presence and correctness of critical schema types including Organization, WebSite, FAQ, Product, Article, and BreadcrumbList. We verify that your JSON-LD is properly formatted, contains all required properties, and accurately represents your brand entity. Missing or incorrect schema is one of the most common reasons brands are invisible to AI platforms, because without structured data, AI models struggle to confidently identify and recommend your brand.
AI platforms send crawlers to index and understand your website content. If your robots.txt file blocks these crawlers, your content becomes invisible to AI models regardless of how good it is. Our audit checks whether your robots.txt allows access to key AI crawlers including GPTBot (OpenAI), ClaudeBot (Anthropic), Google-Extended (Gemini), and PerplexityBot. We also verify that important pages like your homepage, product pages, and blog are not inadvertently blocked by overly restrictive directives, and we check sitemap.xml accessibility for comprehensive crawling.
AI models build understanding of brands through entity recognition. Our audit evaluates how consistently your brand entity is presented across your website, including name consistency, description alignment, logo availability, and sameAs links to authoritative profiles (LinkedIn, Wikipedia, Crunchbase, etc.). We check whether your brand name, description, and key attributes are presented identically across all pages, because inconsistency confuses AI models and dilutes your entity signal strength.
AI platforms evaluate the authority of sources before citing them in responses. Our audit assesses the quality signals that influence whether AI models consider your site authoritative, including external citation patterns, author expertise signals (E-E-A-T), content depth and comprehensiveness, and whether your content matches the format that AI models prefer to reference. We also check for proper attribution, outbound links to authoritative sources, and the overall trust signals that make your content citation-worthy.
Here is an example of what your AI readiness audit report looks like. Each item is categorized as passed, failed, or warning.
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